--------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  ...\1805 Roadmaps\Table A9.log
  log type:  text
 opened on:   9 May 2018, 15:30:33

. 
. set seed X075bcd151f123bb5159a55e50022865700043e55

. 
. 
. probit vote_leemar ///
>      con con_know con_D1 con_know_D1 ///
>      vgd vgd_know vgd_D1 vgd_know_D1 ///
>      pty pty_know pty_D1 pty_know_D1 ///
>      psi psi_know psi_D1 psi_know_D1 ///
>      psp psp_know psp_D1 psp_know_D1 ///
>      , noconstant

Iteration 0:   log likelihood = -238.44263  
Iteration 1:   log likelihood = -195.26055  
Iteration 2:   log likelihood = -193.74342  
Iteration 3:   log likelihood = -193.72055  
Iteration 4:   log likelihood = -193.72053  
Iteration 5:   log likelihood = -193.72053  

Probit regression                                 Number of obs   =        344
                                                  Wald chi2(20)   =      67.07
Log likelihood = -193.72053                       Prob > chi2     =     0.0000

------------------------------------------------------------------------------
 vote_leemar |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         con |   1.080313   .7214847     1.50   0.134    -.3337709    2.494397
    con_know |  -.6670676    .311761    -2.14   0.032    -1.278108   -.0560273
      con_D1 |  -1.186092   .9258237    -1.28   0.200    -3.000673    .6284889
 con_know_D1 |   .6710734   .3810596     1.76   0.078    -.0757897    1.417936
         vgd |   .4925285   .5894132     0.84   0.403    -.6627002    1.647757
    vgd_know |  -.3490806   .2299096    -1.52   0.129    -.7996951    .1015339
      vgd_D1 |   .9033234   .7589038     1.19   0.234    -.5841007    2.390747
 vgd_know_D1 |  -.0350521    .295164    -0.12   0.905    -.6135629    .5434587
         pty |  -.3673009   .7300447    -0.50   0.615    -1.798162     1.06356
    pty_know |  -.2973871   .3018029    -0.99   0.324      -.88891    .2941358
      pty_D1 |   .3190888   .7591531     0.42   0.674    -1.168824    1.807002
 pty_know_D1 |   .3955435   .3204261     1.23   0.217    -.2324801    1.023567
         psi |   .0417238   .5558441     0.08   0.940    -1.047711    1.131158
    psi_know |  -.2105394   .2183909    -0.96   0.335    -.6385776    .2174989
      psi_D1 |   .4217624    .854924     0.49   0.622    -1.253858    2.097383
 psi_know_D1 |   .1675225   .3128492     0.54   0.592    -.4456507    .7806957
         psp |  -.8524828   .6325496    -1.35   0.178    -2.092257    .3872916
    psp_know |   .0039445   .2557473     0.02   0.988    -.4973111       .5052
      psp_D1 |   1.132436   .7534437     1.50   0.133    -.3442862    2.609159
 psp_know_D1 |  -.2165414   .2871889    -0.75   0.451    -.7794214    .3463385
------------------------------------------------------------------------------

. 
. tabstat know_sco if e(sample), s(n mean sd min p25 p50 p75 max)

    variable |         N      mean        sd       min       p25       p50       p75       max
-------------+--------------------------------------------------------------------------------
    know_sco |       344  2.531977  .8666955         1         2         3         3         4
----------------------------------------------------------------------------------------------

. tabstat d1 if e(sample), s(n mean sd min p25 p50 p75 max)

    variable |         N      mean        sd       min       p25       p50       p75       max
-------------+--------------------------------------------------------------------------------
          d1 |       344   .482125  .7398629    -1.848     .0415      .486     1.026     1.978
----------------------------------------------------------------------------------------------

. 
. 
. estsimp probit vote_leemar ///
>      con con_know con_D1 con_know_D1 ///
>      vgd vgd_know vgd_D1 vgd_know_D1 ///
>      pty pty_know pty_D1 pty_know_D1 ///
>      psi psi_know psi_D1 psi_know_D1 ///
>      psp psp_know psp_D1 psp_know_D1 ///
>     , noconstant

Iteration 0:   log likelihood = -238.44263
Iteration 1:   log likelihood = -196.73583
Iteration 2:   log likelihood = -193.92338
Iteration 3:   log likelihood = -193.72224
Iteration 4:   log likelihood = -193.72053
Iteration 5:   log likelihood = -193.72053

Probit regression                                 Number of obs   =        344
                                                  LR chi2(20)     =          .
Log likelihood = -193.72053                       Prob > chi2     =          .

------------------------------------------------------------------------------
 vote_leemar |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         con |   1.080313   .7214847     1.50   0.134    -.3337709    2.494397
    con_know |  -.6670676    .311761    -2.14   0.032    -1.278108   -.0560273
      con_D1 |  -1.186092   .9258237    -1.28   0.200    -3.000673    .6284889
 con_know_D1 |   .6710734   .3810596     1.76   0.078    -.0757897    1.417936
         vgd |   .4925285   .5894132     0.84   0.403    -.6627002    1.647757
    vgd_know |  -.3490806   .2299096    -1.52   0.129    -.7996951    .1015339
      vgd_D1 |   .9033234   .7589038     1.19   0.234    -.5841007    2.390747
 vgd_know_D1 |  -.0350521    .295164    -0.12   0.905    -.6135629    .5434587
         pty |  -.3673009   .7300447    -0.50   0.615    -1.798162     1.06356
    pty_know |  -.2973871   .3018029    -0.99   0.324      -.88891    .2941358
      pty_D1 |   .3190888   .7591531     0.42   0.674    -1.168824    1.807002
 pty_know_D1 |   .3955435   .3204261     1.23   0.217    -.2324801    1.023567
         psi |   .0417238   .5558441     0.08   0.940    -1.047711    1.131158
    psi_know |  -.2105394   .2183909    -0.96   0.335    -.6385776    .2174989
      psi_D1 |   .4217624    .854924     0.49   0.622    -1.253858    2.097383
 psi_know_D1 |   .1675225   .3128492     0.54   0.592    -.4456507    .7806957
         psp |  -.8524828   .6325496    -1.35   0.178    -2.092257    .3872916
    psp_know |   .0039445   .2557473     0.02   0.988    -.4973111       .5052
      psp_D1 |   1.132436   .7534437     1.50   0.133    -.3442862    2.609159
 psp_know_D1 |  -.2165414   .2871889    -0.75   0.451    -.7794214    .3463385
------------------------------------------------------------------------------

Simulating main parameters.  Please wait....

Note: Clarify is expanding your dataset from 383 observations to 1000
observations in order to accommodate the simulations.  This will append
missing values to the bottom of your original dataset.

% of simulations completed: 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100% 

Number of simulations  : 1000
Names of new variables : b1 b2 b3 b4 b5 b6 b7 b8 b9 b10 b11 b12 b13 b14 b15 b16 b17 b18 b19 b20

. 
. 
. * Knowledge = 1
. 
. setx median

. setx con 1

. setx con_know 1

. setx con_D1 .486

. setx con_know_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         1         1     
     con_D1 |      .486        .486   
   con_know |         1         1     
con_know_D1 |      .486        .486   
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .4365181     .1461207     .1751368    .7215675
            Pr(vote_l~r=1) |   .5634819     .1461207     .2784324    .8248632

. 
. simqi, fd(prval(1) genpr(fd_con1)) changex(con_D1 0.415 1.026 con_know_D1 .0415 1.026)

First Difference: con_D1 0.415 1.026 con_know_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0204814     .0792044    -.1733369    .1370099

Simqi generated the following new variable(s): fd_con1

. 
. 
. setx con_D1 0

. setx con_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         1         1     
     con_D1 |         0         0     
   con_know |         1         1     
con_know_D1 |         0         0     
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .3514924     .1513106      .106368    .6780834
            Pr(vote_l~r=1) |   .6485076     .1513106     .3219166     .893632

. 
. simqi, fd(prval(1) genpr(tr_pty_con1)) changex(con 1 0 con_know 1 0 pty 0 1 pty_know 0 1)

First Difference: con 1 0 con_know 1 0 pty 0 1 pty_know 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.3755951     .2129788    -.7408439    .0881409

Simqi generated the following new variable(s): tr_pty_con1

. simqi, fd(prval(1) genpr(tr_vgd_con1)) changex(con 1 0 con_know 1 0 vgd 0 1 vgd_know 0 1)

First Difference: con 1 0 con_know 1 0 vgd 0 1 vgd_know 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0932074     .2088438    -.4782386    .3132635

Simqi generated the following new variable(s): tr_vgd_con1

. simqi, fd(prval(1) genpr(tr_psi_con1)) changex(con 1 0 con_know 1 0 psi 0 1 psi_know 0 1)

First Difference: con 1 0 con_know 1 0 psi 0 1 psi_know 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.2025071     .2003634    -.5522699    .2356965

Simqi generated the following new variable(s): tr_psi_con1

. simqi, fd(prval(1) genpr(tr_psp_con1)) changex(con 1 0 con_know 1 0 psp 0 1 psp_know 0 1)

First Difference: con 1 0 con_know 1 0 psp 0 1 psp_know 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.4309325     .1857518    -.7568854   -.0401638

Simqi generated the following new variable(s): tr_psp_con1

. 
. 
. setx median

. setx vgd 1

. setx vgd_know 1

. setx vgd_D1 .486

. setx vgd_know_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         1         1     
     vgd_D1 |      .486        .486   
   vgd_know |         1         1     
vgd_know_D1 |      .486        .486   
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .2945591     .1079795     .1113238    .5398988
            Pr(vote_l~r=1) |   .7054409     .1079795     .4601011    .8886762

. 
. simqi, fd(prval(1) genpr(fd_vgd1)) changex(vgd_D1 0.415 1.026 vgd_know_D1 .0415 1.026)

First Difference: vgd_D1 0.415 1.026 vgd_know_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1401893     .0577237     .0321775    .2567658

Simqi generated the following new variable(s): fd_vgd1

. 
. 
. setx vgd_D1 0

. setx vgd_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         1         1     
     vgd_D1 |         0         0     
   vgd_know |         1         1     
vgd_know_D1 |         0         0     
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .4446998     .1426582     .1843508    .7328314
            Pr(vote_l~r=1) |   .5553002     .1426582     .2671686    .8156492

. 
. simqi, fd(prval(1) genpr(tr_pty_vgd1)) changex(vgd 1 0 vgd_know 1 0 pty 0 1 pty_know 0 1)

First Difference: vgd 1 0 vgd_know 1 0 pty 0 1 pty_know 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.2823877     .2067251    -.6399507     .144898

Simqi generated the following new variable(s): tr_pty_vgd1

. simqi, fd(prval(1) genpr(tr_psi_vgd1)) changex(vgd 1 0 vgd_know 1 0 psi 0 1 psi_know 0 1)

First Difference: vgd 1 0 vgd_know 1 0 psi 0 1 psi_know 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1092997     .1908864    -.4801628    .2552368

Simqi generated the following new variable(s): tr_psi_vgd1

. simqi, fd(prval(1) genpr(tr_psp_vgd1)) changex(vgd 1 0 vgd_know 1 0 psp 0 1 psp_know 0 1)

First Difference: vgd 1 0 vgd_know 1 0 psp 0 1 psp_know 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.3377251     .1803314    -.6756454    .0154683

Simqi generated the following new variable(s): tr_psp_vgd1

. 
. 
. setx median

. setx pty 1

. setx pty_know 1

. setx pty_D1 .486

. setx pty_know_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         1         1     
     pty_D1 |      .486        .486   
   pty_know |         1         1     
pty_know_D1 |      .486        .486   
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6188281     .1360886     .3332948    .8623147
            Pr(vote_l~r=1) |   .3811719     .1360886     .1376853    .6667052

. 
. simqi, fd(prval(1) genpr(fd_pty1)) changex(pty_D1 0.415 1.026 pty_know_D1 .0415 1.026)

First Difference: pty_D1 0.415 1.026 pty_know_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .2093833     .0807256     .0477019    .3651077

Simqi generated the following new variable(s): fd_pty1

. 
. 
. setx pty_D1 0

. setx pty_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         1         1     
     pty_D1 |         0         0     
   pty_know |         1         1     
pty_know_D1 |         0         0     
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7270875     .1466282     .3846525     .944878
            Pr(vote_l~r=1) |   .2729125     .1466282      .055122    .6153475

. 
. 
. setx median

. setx psi 1

. setx psi_know 1

. setx psi_D1 .486

. setx psi_know_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         1         1     
     psi_D1 |      .486        .486   
   psi_know |         1         1     
psi_know_D1 |      .486        .486   
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .4503313     .1291168     .2097029    .7087286
            Pr(vote_l~r=1) |   .5496687     .1291168     .2912714    .7902971

. 
. simqi, fd(prval(1) genpr(fd_psi1)) changex(psi_D1 0.415 1.026 psi_know_D1 .0415 1.026)

First Difference: psi_D1 0.415 1.026 psi_know_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1419942     .0792217     -.025867    .2868596

Simqi generated the following new variable(s): fd_psi1

. 
. 
. setx psi_D1 0

. setx psi_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         1         1     
     psi_D1 |         0         0     
   psi_know |         1         1     
psi_know_D1 |         0         0     
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5539995     .1356057     .2692814    .8030884
            Pr(vote_l~r=1) |   .4460005     .1356057     .1969116    .7307186

. 
. 
. setx median

. setx psp 1

. setx psp_know 1

. setx psp_D1 .486

. setx psp_know_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         1         1     
     psp_D1 |      .486        .486   
   psp_know |         1         1     
psp_know_D1 |      .486        .486   
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6492085     .1085663     .4255197    .8434926
            Pr(vote_l~r=1) |   .3507915     .1085663     .1565074    .5744803

. 
. simqi, fd(prval(1) genpr(fd_psp1)) changex(psp_D1 0.415 1.026 psp_know_D1 .0415 1.026)

First Difference: psp_D1 0.415 1.026 psp_know_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1762666      .078868     .0178832     .324189

Simqi generated the following new variable(s): fd_psp1

. 
. 
. setx psp_D1 0

. setx psp_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         1         1     
     psp_D1 |         0         0     
   psp_know |         1         1     
psp_know_D1 |         0         0     
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7824249     .1085505     .5381661    .9512374
            Pr(vote_l~r=1) |   .2175751     .1085505     .0487626    .4618339

. 
. 
. * Difference in baseline probabilities
. 
. tabstat tr_vgd_con1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_vgd_con1 | -.0932074  .2088438 -.7889485 -.4283389 -.3653935 -.0924145  .1775624  .2553927  .6557716
--------------------------------------------------------------------------------------------------------

. tabstat tr_pty_con1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_pty_con1 | -.3755951  .2129788 -.8569236 -.7007018 -.6491116 -.3847336 -.0812236 -.0014151  .3593992
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_con1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psi_con1 | -.2025071  .2003634 -.7493356 -.5169138 -.4532364 -.2140349  .0668344  .1498579   .487214
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_con1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psp_con1 | -.4309325  .1857518 -.8482584 -.7173241 -.6616213  -.444145  -.175897 -.1063043  .1460372
--------------------------------------------------------------------------------------------------------

. 
. 
. tabstat tr_pty_vgd1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_pty_vgd1 | -.2823877  .2067251 -.8394696 -.5951114 -.5432556 -.2829696 -.0098375  .0867606  .3925682
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_vgd1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psi_vgd1 | -.1092997  .1908864 -.6468436 -.4198065  -.357403 -.1061106  .1455846  .2073969  .5205745
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_vgd1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psp_vgd1 | -.3377251  .1803314  -.825536 -.6357118 -.5640092 -.3430612 -.0956594 -.0308293  .2701606
--------------------------------------------------------------------------------------------------------

. 
. 
. * Calculate difference in first differences
. 
. gen dif_vgd_con1 = fd_vgd1 - fd_con1

. gen dif_pty_con1 = fd_pty1 - fd_con1

. gen dif_psi_con1 = fd_psi1 - fd_con1

. gen dif_psp_con1 = fd_psp1 - fd_con1

. 
. tabstat dif_vgd_con1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_vgd_con1 |  .1606707   .098939 -.2158302 -.0020345  .0283663  .1620417  .2860987  .3201537  .4197698
--------------------------------------------------------------------------------------------------------

. tabstat dif_pty_con1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_pty_con1 |  .2298647  .1153484 -.1082392  .0421331  .0802535  .2316957  .3847057   .419774  .5513564
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_con1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psi_con1 |  .1624756  .1127919 -.1946778 -.0391458  .0132375  .1670397  .3029583  .3455146   .483099
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_con1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp_con1 |   .196748  .1146691 -.1301021  .0049184  .0464607  .1984782  .3466835  .3832027  .5104444
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_pty_vgd1 = fd_pty1 - fd_vgd1

. gen dif_psi_vgd1 = fd_psi1 - fd_vgd1

. gen dif_psp_vgd1 = fd_psp1 - fd_vgd1

. 
. tabstat dif_pty_vgd1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_pty_vgd1 |   .069194  .1009431  -.243284 -.0966411 -.0596649  .0732701  .1956167  .2311036  .4178164
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_vgd1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psi_vgd1 |  .0018049  .1005026 -.3355675 -.1662371 -.1307958  .0048662  .1323365  .1689102  .2952742
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_vgd1, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp_vgd1 |  .0360773  .0943615 -.2765365 -.1038672 -.0760294  .0318533  .1596798  .1997177  .3910373
--------------------------------------------------------------------------------------------------------

. 
. 
. * Knowledge = 2
. 
. setx median

. setx con 1

. setx con_know 2

. setx con_D1 .486

. setx con_know_D1 .972

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         1         1     
     con_D1 |      .486        .486   
   con_know |         2         2     
con_know_D1 |      .972        .972   
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5679229     .0802951     .4064782    .7176627
            Pr(vote_l~r=1) |   .4320771     .0802951     .2823373    .5935218

. 
. simqi, fd(prval(1) genpr(fd_con2)) changex(con_D1 0.415 1.026 con_know_D1 .083 2.412)

First Difference: con_D1 0.415 1.026 con_know_D1 .083 2.412

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .2917016     .1233788     .0297732    .5162579

Simqi generated the following new variable(s): fd_con2

. 
. 
. setx con_D1 0

. setx con_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         1         1     
     con_D1 |         0         0     
   con_know |         2         2     
con_know_D1 |         0         0     
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5962468     .0877973     .4198828    .7724398
            Pr(vote_l~r=1) |   .4037532     .0877973     .2275602    .5801172

. 
. simqi, fd(prval(1) genpr(tr_pty_con2)) changex(con 1 0 con_know 2 0 pty 0 1 pty_know 0 2)

First Difference: con 1 0 con_know 2 0 pty 0 1 pty_know 0 2

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.2256145     .1174266    -.4391168    .0252217

Simqi generated the following new variable(s): tr_pty_con2

. simqi, fd(prval(1) genpr(tr_vgd_con2)) changex(con 1 0 con_know 2 0 vgd 0 1 vgd_know 0 2)

First Difference: con 1 0 con_know 2 0 vgd 0 1 vgd_know 0 2

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0164135     .1239114    -.2304527    .2637789

Simqi generated the following new variable(s): tr_vgd_con2

. simqi, fd(prval(1) genpr(tr_psi_con2)) changex(con 1 0 con_know 2 0 psi 0 1 psi_know 0 2)

First Difference: con 1 0 con_know 2 0 psi 0 1 psi_know 0 2

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |    -.04581     .1192142     -.271727    .1825949

Simqi generated the following new variable(s): tr_psi_con2

. simqi, fd(prval(1) genpr(tr_psp_con2)) changex(con 1 0 con_know 2 0 psp 0 1 psp_know 0 2)

First Difference: con 1 0 con_know 2 0 psp 0 1 psp_know 0 2

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1982888     .1101662    -.4197947    .0169802

Simqi generated the following new variable(s): tr_psp_con2

. 
. 
. setx median

. setx vgd 1

. setx vgd_know 2

. setx vgd_D1 .486

. setx vgd_know_D1 .972

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         1         1     
     vgd_D1 |      .486        .486   
   vgd_know |         2         2     
vgd_know_D1 |      .972        .972   
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .4226131     .0730152      .284696    .5682182
            Pr(vote_l~r=1) |   .5773869     .0730152     .4317818     .715304

. 
. simqi, fd(prval(1) genpr(fd_vgd2)) changex(vgd_D1 0.415 1.026 vgd_know_D1 .083 2.412)

First Difference: vgd_D1 0.415 1.026 vgd_know_D1 .083 2.412

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1714175     .1055972    -.0377209    .3766152

Simqi generated the following new variable(s): fd_vgd2

. 
. 
. setx vgd_D1 0

. setx vgd_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         1         1     
     vgd_D1 |         0         0     
   vgd_know |         2         2     
vgd_know_D1 |         0         0     
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5798333     .0842014     .4163839    .7407575
            Pr(vote_l~r=1) |   .4201667     .0842014     .2592425    .5836161

. 
. simqi, fd(prval(1) genpr(tr_pty_vgd2)) changex(vgd 1 0 vgd_know 2 0 pty 0 1 pty_know 0 2)

First Difference: vgd 1 0 vgd_know 2 0 pty 0 1 pty_know 0 2

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   -.242028     .1170075    -.4610995    .0110448

Simqi generated the following new variable(s): tr_pty_vgd2

. simqi, fd(prval(1) genpr(tr_psi_vgd2)) changex(vgd 1 0 vgd_know 2 0 psi 0 1 psi_know 0 2)

First Difference: vgd 1 0 vgd_know 2 0 psi 0 1 psi_know 0 2

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0622236     .1140438    -.2848555    .1643972

Simqi generated the following new variable(s): tr_psi_vgd2

. simqi, fd(prval(1) genpr(tr_psp_vgd2)) changex(vgd 1 0 vgd_know 2 0 psp 0 1 psp_know 0 2)

First Difference: vgd 1 0 vgd_know 2 0 psp 0 1 psp_know 0 2

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.2147023     .1067459    -.4160808   -.0093301

Simqi generated the following new variable(s): tr_psp_vgd2

. 
. 
. setx median

. setx pty 1

. setx pty_know 2

. setx pty_D1 .486

. setx pty_know_D1 .972

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         1         1     
     pty_D1 |      .486        .486   
   pty_know |         2         2     
pty_know_D1 |      .972        .972   
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6610432     .0821081     .4929449    .8118436
            Pr(vote_l~r=1) |   .3389568     .0821081     .1881564    .5070551

. 
. simqi, fd(prval(1) genpr(fd_pty2)) changex(pty_D1 0.415 1.026 pty_know_D1 .083 2.412)

First Difference: pty_D1 0.415 1.026 pty_know_D1 .083 2.412

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .3960078     .1185036     .1442327    .6095237

Simqi generated the following new variable(s): fd_pty2

. 
. 
. setx pty_D1 0

. setx pty_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         1         1     
     pty_D1 |         0         0     
   pty_know |         2         2     
pty_know_D1 |         0         0     
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .8218613     .0782709      .634083    .9410219
            Pr(vote_l~r=1) |   .1781387     .0782709     .0589781     .365917

. 
. 
. setx median

. setx psi 1

. setx psi_know 2

. setx psi_D1 .486

. setx psi_know_D1 .972

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         1         1     
     psi_D1 |      .486        .486   
   psi_know |         2         2     
psi_know_D1 |      .972        .972   
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5031055     .0746018     .3524029    .6534232
            Pr(vote_l~r=1) |   .4968945     .0746018     .3465768    .6475971

. 
. simqi, fd(prval(1) genpr(fd_psi2)) changex(psi_D1 0.415 1.026 psi_know_D1 .083 2.412)

First Difference: psi_D1 0.415 1.026 psi_know_D1 .083 2.412

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .2482591     .1024523     .0530674    .4415921

Simqi generated the following new variable(s): fd_psi2

. 
. 
. setx psi_D1 0

. setx psi_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         1         1     
     psi_D1 |         0         0     
   psi_know |         2         2     
psi_know_D1 |         0         0     
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6420568     .0797397     .4739349    .7866679
            Pr(vote_l~r=1) |   .3579432     .0797397     .2133322    .5260651

. 
. 
. setx median

. setx psp 1

. setx psp_know 2

. setx psp_D1 .486

. setx psp_know_D1 .972

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         1         1     
     psp_D1 |      .486        .486   
   psp_know |         2         2     
psp_know_D1 |      .972        .972   
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |    .691183     .0635049     .5650767    .8069977
            Pr(vote_l~r=1) |    .308817     .0635049     .1930023    .4349233

. 
. simqi, fd(prval(1) genpr(fd_psp2)) changex(psp_D1 0.415 1.026 psp_know_D1 .083 2.412)

First Difference: psp_D1 0.415 1.026 psp_know_D1 .083 2.412

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0690609     .0973973    -.1268805     .258027

Simqi generated the following new variable(s): fd_psp2

. 
. 
. setx psp_D1 0

. setx psp_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         1         1     
     psp_D1 |         0         0     
   psp_know |         2         2     
psp_know_D1 |         0         0     
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7945356     .0658534     .6560587    .8986308
            Pr(vote_l~r=1) |   .2054644     .0658534     .1013692    .3439413

. 
. 
. * Difference in baseline probabilities
. 
. tabstat tr_vgd_con2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_vgd_con2 |  .0164135  .1239114 -.4380728 -.1875917 -.1326055  .0185925  .1749118  .2251952  .4158117
--------------------------------------------------------------------------------------------------------

. tabstat tr_pty_con2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_pty_con2 | -.2256145  .1174266 -.5685619  -.412984 -.3700988 -.2339608 -.0670183 -.0222738  .1434893
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_con2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psi_con2 |   -.04581  .1192142 -.4631582  -.245087 -.1998894 -.0442296  .1127466  .1509529  .3308657
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_con2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psp_con2 | -.1982888  .1101662 -.5495243 -.3734302 -.3410159 -.1972706 -.0611218 -.0180505  .1619495
--------------------------------------------------------------------------------------------------------

. 
. 
. tabstat tr_pty_vgd2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_pty_vgd2 |  -.242028  .1170075 -.5912673 -.4223444 -.3840094 -.2482407 -.0920472 -.0383287  .1841657
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_vgd2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psi_vgd2 | -.0622236  .1140438 -.5072186 -.2472191  -.209162 -.0629218  .0859424  .1298953  .2838631
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_vgd2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psp_vgd2 | -.2147023  .1067459 -.5671903 -.3855097 -.3539968 -.2143396 -.0749352 -.0426718   .217468
--------------------------------------------------------------------------------------------------------

. 
. 
. * Calculate difference in first differences
. 
. gen dif_vgd_con2 = fd_vgd2 - fd_con2

. gen dif_pty_con2 = fd_pty2 - fd_con2

. gen dif_psi_con2 = fd_psi2 - fd_con2

. gen dif_psp_con2 = fd_psp2 - fd_con2

. 
. tabstat dif_vgd_con2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_vgd_con2 | -.1202841  .1618272 -.5694248 -.3899909 -.3207479   -.12424  .0828045  .1530701  .4726555
--------------------------------------------------------------------------------------------------------

. tabstat dif_pty_con2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_pty_con2 |  .1043062  .1680475 -.5886664 -.1818226 -.1183961  .1094412  .3225547   .373701  .5721702
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_con2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psi_con2 | -.0434425  .1577277 -.6073881 -.2831777 -.2435952 -.0468347  .1612285  .2168208  .5032803
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_con2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp_con2 | -.2226408  .1567327 -.7289131 -.4530382 -.4178642 -.2324482 -.0119399  .0527106  .3165152
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_pty_vgd2 = fd_pty2 - fd_vgd2

. gen dif_psi_vgd2 = fd_psi2 - fd_vgd2

. gen dif_psp_vgd2 = fd_psp2 - fd_vgd2

. 
. tabstat dif_pty_vgd2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_pty_vgd2 |  .2245903  .1581557 -.4183141 -.0444177  .0206606   .231708  .4246075  .4755854  .7426935
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_vgd2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psi_vgd2 |  .0768416  .1505254 -.3786145 -.1767057 -.1137229  .0737418  .2675842  .3247561  .4875762
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_vgd2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp_vgd2 | -.1023566  .1431993 -.6221445 -.3444809 -.2890804  -.099799   .078014  .1264352  .3391676
--------------------------------------------------------------------------------------------------------

. 
. 
. * Knowledge = 3
. 
. setx median

. setx con 1

. setx con_know 3

. setx con_D1 .486

. setx con_know_D1 1.458

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         1         1     
     con_D1 |      .486        .486   
   con_know |         3         3     
con_know_D1 |     1.458       1.458   
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6947409     .0774126     .5334045    .8283493
            Pr(vote_l~r=1) |   .3052591     .0774126     .1716507    .4665955

. 
. simqi, fd(prval(1) genpr(fd_con3)) changex(con_D1 0.415 1.026 con_know_D1 .1245 3.618)

First Difference: con_D1 0.415 1.026 con_know_D1 .1245 3.618

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .4763456     .2033816      .020596    .7943653

Simqi generated the following new variable(s): fd_con3

. 
. 
. setx con_D1 0

. setx con_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         1         1     
     con_D1 |         0         0     
   con_know |         3         3     
con_know_D1 |         0         0     
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .8075678     .0877183     .6076113     .941889
            Pr(vote_l~r=1) |   .1924322     .0877183      .058111    .3923887

. 
. simqi, fd(prval(1) genpr(tr_pty_con3)) changex(con 1 0 con_know 3 0 pty 0 1 pty_know 0 3)

First Difference: con 1 0 con_know 3 0 pty 0 1 pty_know 0 3

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0728629      .112714    -.3008092    .1354392

Simqi generated the following new variable(s): tr_pty_con3

. simqi, fd(prval(1) genpr(tr_vgd_con3)) changex(con 1 0 con_know 3 0 vgd 0 1 vgd_know 0 3)

First Difference: con 1 0 con_know 3 0 vgd 0 1 vgd_know 0 3

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0999718     .1160891    -.1468427    .3265712

Simqi generated the following new variable(s): tr_vgd_con3

. simqi, fd(prval(1) genpr(tr_psi_con3)) changex(con 1 0 con_know 3 0 psi 0 1 psi_know 0 3)

First Difference: con 1 0 con_know 3 0 psi 0 1 psi_know 0 3

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0864777     .1153394    -.1519976    .2977495

Simqi generated the following new variable(s): tr_psi_con3

. simqi, fd(prval(1) genpr(tr_psp_con3)) changex(con 1 0 con_know 3 0 psp 0 1 psp_know 0 3)

First Difference: con 1 0 con_know 3 0 psp 0 1 psp_know 0 3

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |    .014068     .1145426    -.2295712    .2353312

Simqi generated the following new variable(s): tr_psp_con3

. 
. 
. setx median

. setx vgd 1

. setx vgd_know 3

. setx vgd_D1 .486

. setx vgd_know_D1 1.458

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         1         1     
     vgd_D1 |      .486        .486   
   vgd_know |         3         3     
vgd_know_D1 |     1.458       1.458   
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5667304     .0706836     .4293662    .6986425
            Pr(vote_l~r=1) |   .4332696     .0706836     .3013575    .5706338

. 
. simqi, fd(prval(1) genpr(fd_vgd3)) changex(vgd_D1 0.415 1.026 vgd_know_D1 .1245 3.618)

First Difference: vgd_D1 0.415 1.026 vgd_know_D1 .1245 3.618

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1650874      .225473    -.3060588    .5755794

Simqi generated the following new variable(s): fd_vgd3

. 
. 
. setx vgd_D1 0

. setx vgd_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         1         1     
     vgd_D1 |         0         0     
   vgd_know |         3         3     
vgd_know_D1 |         0         0     
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |    .707596     .0806717     .5375451    .8475075
            Pr(vote_l~r=1) |    .292404     .0806717     .1524925    .4624548

. 
. simqi, fd(prval(1) genpr(tr_pty_vgd3)) changex(vgd 1 0 vgd_know 3 0 pty 0 1 pty_know 0 3)

First Difference: vgd 1 0 vgd_know 3 0 pty 0 1 pty_know 0 3

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1728346     .1109555    -.3728055    .0512028

Simqi generated the following new variable(s): tr_pty_vgd3

. simqi, fd(prval(1) genpr(tr_psi_vgd3)) changex(vgd 1 0 vgd_know 3 0 psi 0 1 psi_know 0 3)

First Difference: vgd 1 0 vgd_know 3 0 psi 0 1 psi_know 0 3

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0134941     .1127663    -.2359462    .2007797

Simqi generated the following new variable(s): tr_psi_vgd3

. simqi, fd(prval(1) genpr(tr_psp_vgd3)) changex(vgd 1 0 vgd_know 3 0 psp 0 1 psp_know 0 3)

First Difference: vgd 1 0 vgd_know 3 0 psp 0 1 psp_know 0 3

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0859038     .1088459     -.302753    .1280987

Simqi generated the following new variable(s): tr_psp_vgd3

. 
. 
. setx median

. setx pty 1

. setx pty_know 3

. setx pty_D1 .486

. setx pty_know_D1 1.458

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         1         1     
     pty_D1 |      .486        .486   
   pty_know |         3         3     
pty_know_D1 |     1.458       1.458   
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6960048     .0846837      .513643    .8423509
            Pr(vote_l~r=1) |   .3039952     .0846837     .1576491     .486357

. 
. simqi, fd(prval(1) genpr(fd_pty3)) changex(pty_D1 0.415 1.026 pty_know_D1 .1245 3.618)

First Difference: pty_D1 0.415 1.026 pty_know_D1 .1245 3.618

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .5137721     .1962093     .0592496     .808787

Simqi generated the following new variable(s): fd_pty3

. 
. 
. setx pty_D1 0

. setx pty_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         1         1     
     pty_D1 |         0         0     
   pty_know |         3         3     
pty_know_D1 |         0         0     
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .8804307     .0749013     .6877084      .97752
            Pr(vote_l~r=1) |   .1195693     .0749013       .02248    .3122916

. 
. 
. setx median

. setx psi 1

. setx psi_know 3

. setx psi_D1 .486

. setx psi_know_D1 1.458

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         1         1     
     psi_D1 |      .486        .486   
   psi_know |         3         3     
psi_know_D1 |     1.458       1.458   
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5578919     .0676315     .4244774    .6847746
            Pr(vote_l~r=1) |   .4421081     .0676315     .3152254    .5755226

. 
. simqi, fd(prval(1) genpr(fd_psi3)) changex(psi_D1 0.415 1.026 psi_know_D1 .1245 3.618)

First Difference: psi_D1 0.415 1.026 psi_know_D1 .1245 3.618

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .3189649     .2134942     -.120805    .6888158

Simqi generated the following new variable(s): fd_psi3

. 
. 
. setx psi_D1 0

. setx psi_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         1         1     
     psi_D1 |         0         0     
   psi_know |         3         3     
psi_know_D1 |         0         0     
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7210901     .0745857      .553937    .8518725
            Pr(vote_l~r=1) |   .2789099     .0745857     .1481275     .446063

. 
. 
. setx median

. setx psp 1

. setx psp_know 3

. setx psp_D1 .486

. setx psp_know_D1 1.458

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         1         1     
     psp_D1 |      .486        .486   
   psp_know |         3         3     
psp_know_D1 |     1.458       1.458   
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7261302     .0689463     .5743888    .8426605
            Pr(vote_l~r=1) |   .2738698     .0689463     .1573395    .4256112

. 
. simqi, fd(prval(1) genpr(fd_psp3)) changex(psp_D1 0.415 1.026 psp_know_D1 .1245 3.618)

First Difference: psp_D1 0.415 1.026 psp_know_D1 .1245 3.618

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0240403     .1997389    -.4091802    .3649561

Simqi generated the following new variable(s): fd_psp3

. 
. 
. setx psp_D1 0

. setx psp_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         1         1     
     psp_D1 |         0         0     
   psp_know |         3         3     
psp_know_D1 |         0         0     
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7934998     .0770775     .6181112    .9166747
            Pr(vote_l~r=1) |   .2065002     .0770775     .0833253    .3818888

. 
. 
. * Difference in baseline probabilities
. 
. tabstat tr_vgd_con3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_vgd_con3 |  .0999718  .1160891 -.3267519 -.0970725 -.0530591  .1014972   .245036  .2874242  .4410478
--------------------------------------------------------------------------------------------------------

. tabstat tr_pty_con3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_pty_con3 | -.0728629   .112714 -.4869944 -.2618757  -.221346 -.0683947  .0593981  .1019805  .4437992
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_con3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psi_con3 |  .0864777  .1153394 -.3245804 -.1052999  -.059999  .0943496  .2305308  .2597167  .3984972
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_con3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psp_con3 |   .014068  .1145426 -.4237831 -.1866703 -.1332191  .0165518  .1544811  .2033636  .4547604
--------------------------------------------------------------------------------------------------------

. 
. 
. tabstat tr_pty_vgd3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_pty_vgd3 | -.1728346  .1109555 -.5534816 -.3406084 -.3097843 -.1789907 -.0270866  .0179241  .3385906
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_vgd3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psi_vgd3 | -.0134941  .1127663 -.4092793 -.2048949 -.1649102 -.0120186  .1304702  .1644688   .332566
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_vgd3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psp_vgd3 | -.0859038  .1088459 -.3915867 -.2694688 -.2249782 -.0884443  .0497623  .0923325  .3152101
--------------------------------------------------------------------------------------------------------

. 
. 
. * Calculate difference in first differences
. 
. gen dif_vgd_con3 = fd_vgd3 - fd_con3

. gen dif_pty_con3 = fd_pty3 - fd_con3

. gen dif_psi_con3 = fd_psi3 - fd_con3

. gen dif_psp_con3 = fd_psp3 - fd_con3

. 
. tabstat dif_vgd_con3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_vgd_con3 | -.3112582  .3079533 -1.213556 -.8216691 -.7099086  -.311423  .0799347  .1904415  .8399264
--------------------------------------------------------------------------------------------------------

. tabstat dif_pty_con3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_pty_con3 |  .0374264  .2783403 -1.038032 -.4339486  -.305608  .0404988  .3920247  .4886908  .9749871
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_con3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psi_con3 | -.1573807  .2913441 -1.114394 -.6188629 -.5160393 -.1566262  .2101742  .3321593  1.066393
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_con3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp_con3 | -.5003859  .2860801  -1.34136 -.9430803 -.8487952 -.5146816 -.1199974 -.0063103  .4871267
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_pty_vgd3 = fd_pty3 - fd_vgd3

. gen dif_psi_vgd3 = fd_psi3 - fd_vgd3

. gen dif_psp_vgd3 = fd_psp3 - fd_vgd3

. 
. tabstat dif_pty_vgd3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_pty_vgd3 |  .3486846  .2990726 -.8289846 -.1428419 -.0365821  .3523546  .7245418  .8400905  1.263938
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_vgd3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psi_vgd3 |  .1538775  .3181922  -.744675 -.3778166 -.2530458   .151842   .579179  .6710688  .9850999
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_vgd3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp_vgd3 | -.1891277  .2995466 -1.153916 -.6945384 -.5721738 -.1954949  .2053199  .2981559  .8499421
--------------------------------------------------------------------------------------------------------

. 
. 
. * Knowledge = 4
. 
. setx median

. setx con 1

. setx con_know 4

. setx con_D1 .486

. setx con_know_D1 1.944

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         1         1     
     con_D1 |      .486        .486   
   con_know |         4         4     
con_know_D1 |     1.944       1.944   
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |    .788064     .1164035      .520115    .9547908
            Pr(vote_l~r=1) |    .211936     .1164035     .0452092     .479885

. 
. simqi, fd(prval(1) genpr(fd_con4)) changex(con_D1 0.415 1.026 con_know_D1 .166 4.824)

First Difference: con_D1 0.415 1.026 con_know_D1 .166 4.824

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .5650215     .2599636     .0177999    .9399257

Simqi generated the following new variable(s): fd_con4

. 
. 
. setx con_D1 0

. setx con_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         1         1     
     con_D1 |         0         0     
   con_know |         4         4     
con_know_D1 |         0         0     
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .9124861     .0908614     .6721495    .9968634
            Pr(vote_l~r=1) |   .0875139     .0908614     .0031366    .3278504

. 
. simqi, fd(prval(1) genpr(tr_pty_con4)) changex(con 1 0 con_know 4 0 pty 0 1 pty_know 0 4)

First Difference: con 1 0 con_know 4 0 pty 0 1 pty_know 0 4

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0058026     .1327576    -.2667569    .2946817

Simqi generated the following new variable(s): tr_pty_con4

. simqi, fd(prval(1) genpr(tr_vgd_con4)) changex(con 1 0 con_know 4 0 vgd 0 1 vgd_know 0 4)

First Difference: con 1 0 con_know 4 0 vgd 0 1 vgd_know 0 4

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1114483     .1390253    -.1773147    .3915613

Simqi generated the following new variable(s): tr_vgd_con4

. simqi, fd(prval(1) genpr(tr_psi_con4)) changex(con 1 0 con_know 4 0 psi 0 1 psi_know 0 4)

First Difference: con 1 0 con_know 4 0 psi 0 1 psi_know 0 4

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1316931     .1368301    -.1538692    .3818097

Simqi generated the following new variable(s): tr_psi_con4

. simqi, fd(prval(1) genpr(tr_psp_con4)) changex(con 1 0 con_know 4 0 psp 0 1 psp_know 0 4)

First Difference: con 1 0 con_know 4 0 psp 0 1 psp_know 0 4

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1322849     .1584924    -.1966067    .4636299

Simqi generated the following new variable(s): tr_psp_con4

. 
. 
. setx median

. setx vgd 1

. setx vgd_know 4

. setx vgd_D1 .486

. setx vgd_know_D1 1.944

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         1         1     
     vgd_D1 |      .486        .486   
   vgd_know |         4         4     
vgd_know_D1 |     1.944       1.944   
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6968749     .1050612     .4797887     .875965
            Pr(vote_l~r=1) |   .3031251     .1050612      .124035    .5202113

. 
. simqi, fd(prval(1) genpr(fd_vgd4)) changex(vgd_D1 0.415 1.026 vgd_know_D1 .166 4.824)

First Difference: vgd_D1 0.415 1.026 vgd_know_D1 .166 4.824

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1326291     .3135245    -.4867424    .6978248

Simqi generated the following new variable(s): fd_vgd4

. 
. 
. setx vgd_D1 0

. setx vgd_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         1         1     
     vgd_D1 |         0         0     
   vgd_know |         4         4     
vgd_know_D1 |         0         0     
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .8010378     .1101879      .552361    .9607473
            Pr(vote_l~r=1) |   .1989622     .1101879     .0392527     .447639

. 
. simqi, fd(prval(1) genpr(tr_pty_vgd4)) changex(vgd 1 0 vgd_know 4 0 pty 0 1 pty_know 0 4)

First Difference: vgd 1 0 vgd_know 4 0 pty 0 1 pty_know 0 4

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1056457     .1498568    -.3733937    .2195544

Simqi generated the following new variable(s): tr_pty_vgd4

. simqi, fd(prval(1) genpr(tr_psi_vgd4)) changex(vgd 1 0 vgd_know 4 0 psi 0 1 psi_know 0 4)

First Difference: vgd 1 0 vgd_know 4 0 psi 0 1 psi_know 0 4

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0202448     .1548074     -.294051    .3047455

Simqi generated the following new variable(s): tr_psi_vgd4

. simqi, fd(prval(1) genpr(tr_psp_vgd4)) changex(vgd 1 0 vgd_know 4 0 psp 0 1 psp_know 0 4)

First Difference: vgd 1 0 vgd_know 4 0 psp 0 1 psp_know 0 4

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0208366     .1686726    -.3098999    .3575443

Simqi generated the following new variable(s): tr_psp_vgd4

. 
. 
. setx median

. setx pty 1

. setx pty_know 4

. setx pty_D1 .486

. setx pty_know_D1 1.944

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         1         1     
     pty_D1 |      .486        .486   
   pty_know |         4         4     
pty_know_D1 |     1.944       1.944   
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |    .720057     .1309298     .4277363    .9182562
            Pr(vote_l~r=1) |    .279943     .1309298     .0817438    .5722637

. 
. simqi, fd(prval(1) genpr(fd_pty4)) changex(pty_D1 0.415 1.026 pty_know_D1 .166 4.824)

First Difference: pty_D1 0.415 1.026 pty_know_D1 .166 4.824

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .5845438     .2558969    -.0330789    .9282179

Simqi generated the following new variable(s): fd_pty4

. 
. 
. setx pty_D1 0

. setx pty_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         1         1     
     pty_D1 |         0         0     
   pty_know |         4         4     
pty_know_D1 |         0         0     
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .9066835     .0996094     .6222797    .9966035
            Pr(vote_l~r=1) |   .0933165     .0996094     .0033965    .3777203

. 
. 
. setx median

. setx psi 1

. setx psi_know 4

. setx psi_D1 .486

. setx psi_know_D1 1.944

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         1         1     
     psi_D1 |      .486        .486   
   psi_know |         4         4     
psi_know_D1 |     1.944       1.944   
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6079067     .1159219      .381274    .8216173
            Pr(vote_l~r=1) |   .3920933     .1159219     .1783827     .618726

. 
. simqi, fd(prval(1) genpr(fd_psi4)) changex(psi_D1 0.415 1.026 psi_know_D1 .166 4.824)

First Difference: psi_D1 0.415 1.026 psi_know_D1 .166 4.824

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .3609713     .3061704    -.2977651    .8501913

Simqi generated the following new variable(s): fd_psi4

. 
. 
. setx psi_D1 0

. setx psi_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         1         1     
     psi_D1 |         0         0     
   psi_know |         4         4     
psi_know_D1 |         0         0     
        psp |         0       median  
     psp_D1 |         0       median  
   psp_know |         0       median  
psp_know_D1 |         0       median  
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |    .780793     .1051241     .5410946    .9480482
            Pr(vote_l~r=1) |    .219207     .1051241     .0519518    .4589054

. 
. 
. setx median

. setx psp 1

. setx psp_know 4

. setx psp_D1 .486

. setx psp_know_D1 1.944

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         1         1     
     psp_D1 |      .486        .486   
   psp_know |         4         4     
psp_know_D1 |     1.944       1.944   
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7517108     .1079624     .5086643    .9190443
            Pr(vote_l~r=1) |   .2482892     .1079624     .0809557    .4913357

. 
. simqi, fd(prval(1) genpr(fd_psp4)) changex(psp_D1 0.415 1.026 psp_know_D1 .166 4.824)

First Difference: psp_D1 0.415 1.026 psp_know_D1 .166 4.824

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0982437     .2820108     -.647445    .4526016

Simqi generated the following new variable(s): fd_psp4

. 
. 
. setx psp_D1 0

. setx psp_know_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

--------------------------------------
   Variable |    Value     Description
------------+-------------------------
        con |         0       median  
     con_D1 |         0       median  
   con_know |         0       median  
con_know_D1 |         0       median  
        psi |         0       median  
     psi_D1 |         0       median  
   psi_know |         0       median  
psi_know_D1 |         0       median  
        psp |         1         1     
     psp_D1 |         0         0     
   psp_know |         4         4     
psp_know_D1 |         0         0     
        pty |         0       median  
     pty_D1 |         0       median  
   pty_know |         0       median  
pty_know_D1 |         0       median  
        vgd |         0       median  
     vgd_D1 |         0       median  
   vgd_know |         0       median  
vgd_know_D1 |         0       median  
--------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7802012     .1316534     .4702574    .9576708
            Pr(vote_l~r=1) |   .2197988     .1316534     .0423292    .5297426

. 
. 
. * Difference in baseline probabilities
. 
. tabstat tr_vgd_con4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_vgd_con4 |  .1114483  .1390253 -.5091604  -.119726 -.0474748  .1059178   .287533  .3597945  .5724328
--------------------------------------------------------------------------------------------------------

. tabstat tr_pty_con4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_pty_con4 |  .0058026  .1327576 -.6162459 -.1960362 -.1398609  .0032911  .1596604  .2297704  .7902508
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_con4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psi_con4 |  .1316931  .1368301 -.4701372 -.0920154 -.0326209  .1343225  .3029234  .3471756  .5888588
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_con4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psp_con4 |  .1322849  .1584924 -.4844369 -.1208235 -.0407796  .1202686  .3551454  .4247909  .6326683
--------------------------------------------------------------------------------------------------------

. 
. 
. tabstat tr_pty_vgd4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_pty_vgd4 | -.1056457  .1498568 -.6495863  -.342899 -.2884472 -.1011131  .0711883  .1455284  .7023338
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_vgd4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psi_vgd4 |  .0202448  .1548074 -.4651989 -.2375509 -.1840853  .0186563   .212347  .2655295  .5135441
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_vgd4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 tr_psp_vgd4 |  .0208366  .1686726 -.4503461 -.2630768 -.1951132  .0164188  .2356412    .30931  .6631278
--------------------------------------------------------------------------------------------------------

. 
. 
. * Calculate difference in first differences
. 
. gen dif_vgd_con4 = fd_vgd4 - fd_con4

. gen dif_pty_con4 = fd_pty4 - fd_con4

. gen dif_psi_con4 = fd_psi4 - fd_con4

. gen dif_psp_con4 = fd_psp4 - fd_con4

. 
. tabstat dif_vgd_con4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_vgd_con4 | -.4323924  .4145141 -1.522464 -1.118429 -.9735183 -.4316796  .0865812  .2586406  .9922905
--------------------------------------------------------------------------------------------------------

. tabstat dif_pty_con4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_pty_con4 |  .0195223  .3619324 -1.372329 -.6110088 -.4299058  .0300176  .4627924  .5947812  1.311014
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_con4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psi_con4 | -.2040501   .399768 -1.391851 -.8758928 -.7214023 -.2000013  .3136689  .4490012  1.431577
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_con4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp_con4 | -.6632652  .3862111 -1.708018 -1.275854 -1.158153 -.6901702 -.1397641 -.0098584  .6046241
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_pty_vgd4 = fd_pty4 - fd_vgd4

. gen dif_psi_vgd4 = fd_psi4 - fd_vgd4

. gen dif_psp_vgd4 = fd_psp4 - fd_vgd4

. 
. tabstat dif_pty_vgd4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_pty_vgd4 |  .4519146  .4055336 -1.051302 -.2252483 -.0727299  .4558929    .96222  1.140723  1.606333
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_vgd4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psi_vgd4 |  .2283422  .4504512 -1.064825 -.5540795 -.3528199  .2341348  .8292602  .9618283  1.400455
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_vgd4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
dif_psp_vgd4 | -.2308728  .4175059 -1.470026 -.9379606 -.7589346 -.2372946  .3195328  .4573284  1.253207
--------------------------------------------------------------------------------------------------------

. 
. 
. * Low-knowledge high-knowledge differences
. 
. * Calculate difference in first differences
. 
. * Knowledge = 1 - Knowledge = 4
. 
. gen tr_vgd_con_1_4 = tr_vgd_con1 - tr_vgd_con4

. gen tr_pty_con_1_4 = tr_pty_con1 - tr_pty_con4

. gen tr_psi_con_1_4 = tr_psi_con1 - tr_psi_con4

. gen tr_psp_con_1_4 = tr_psp_con1 - tr_psp_con4

. 
. tabstat tr_vgd_con_1_4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_vgd_co~_4 | -.2046557  .3034578 -1.110115 -.7166615  -.602261 -.2090556  .1794164  .3076125  .9674312
--------------------------------------------------------------------------------------------------------

. tabstat tr_pty_con_1_4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_pty_co~_4 | -.3813977   .295984 -1.476447 -.8361336 -.7356257 -.3934245  -.015017  .1436461  .5346531
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_con_1_4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psi_co~_4 | -.3342002  .2911995 -1.255437 -.7843074 -.7088699 -.3453746  .0538921  .1769924  .8868609
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_con_1_4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psp_co~_4 | -.5632174   .296022 -1.378348 -1.043353 -.9556955 -.5673812 -.1680552 -.0790659  .3528216
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_con_1_4 = fd_con1 - fd_con4

. gen dif_vgd_1_4 = fd_vgd1 - fd_vgd4

. gen dif_pty_1_4 = fd_pty1 - fd_pty4

. gen dif_psi_1_4 = fd_psi1 - fd_psi4

. gen dif_psp_1_4 = fd_psp1 - fd_psp4

. 
. tabstat dif_con_1_4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_con_1_4 | -.5855028  .3105217 -1.119635 -1.024478 -.9590408 -.6160792 -.1746236 -.0524774  .9716966
--------------------------------------------------------------------------------------------------------

. tabstat dif_vgd_1_4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_vgd_1_4 |  .0075602  .3368968 -.9141574 -.5371972 -.4314006  .0138808  .4686635  .5676837  1.032111
--------------------------------------------------------------------------------------------------------

. tabstat dif_pty_1_4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_pty_1_4 | -.3751604  .2922838 -.9590339 -.7705599 -.7063754 -.4218945  .0186819  .1662589  .8948493
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_1_4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psi_1_4 | -.2189771  .3577361 -.9850405  -.768765 -.6652519 -.2448032  .2958021  .4216806  .8369778
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_1_4, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psp_1_4 |  .2745103  .3369233 -.7078907 -.2768936 -.1616073  .2635517  .7294153  .8595381  1.197838
--------------------------------------------------------------------------------------------------------

. 
. 
. * Knowledge = 1 - Knowledge = 3
. 
. gen tr_vgd_con_1_3 = tr_vgd_con1 - tr_vgd_con3

. gen tr_pty_con_1_3 = tr_pty_con1 - tr_pty_con3

. gen tr_psi_con_1_3 = tr_psi_con1 - tr_psi_con3

. gen tr_psp_con_1_3 = tr_psp_con1 - tr_psp_con3

. 
. tabstat tr_vgd_con_1_3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_vgd_co~_3 | -.1931791  .2520409 -.9502772 -.6030507 -.5161554   -.19801  .1296381  .2378369  .7408345
--------------------------------------------------------------------------------------------------------

. tabstat tr_pty_con_1_3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_pty_co~_3 | -.3027322  .2552154 -1.129996 -.6984484 -.6170435 -.3127388  .0198661  .1488051  .5162441
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_con_1_3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psi_co~_3 | -.2889848   .242634 -.9866452 -.6688968 -.6019034 -.3009625  .0319985  .1314725  .6365287
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_con_1_3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psp_co~_3 | -.4450005  .2356116 -1.035325 -.8104143  -.737924 -.4575834 -.1247593 -.0455776  .2411281
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_con_1_3 = fd_con1 - fd_con3

. gen dif_vgd_1_3 = fd_vgd1 - fd_vgd3

. gen dif_pty_1_3 = fd_pty1 - fd_pty3

. gen dif_psi_1_3 = fd_psi1 - fd_psi3

. gen dif_psp_1_3 = fd_psp1 - fd_psp3

. 
. tabstat dif_con_1_3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_con_1_3 |  -.496827  .2509043 -.9867488 -.8568056 -.8036323 -.5220928 -.1770755 -.0629762  .7652148
--------------------------------------------------------------------------------------------------------

. tabstat dif_vgd_1_3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_vgd_1_3 | -.0248981  .2482891 -.7593675  -.424358 -.3481485 -.0189819  .2929194  .3878812  .7428157
--------------------------------------------------------------------------------------------------------

. tabstat dif_pty_1_3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_pty_1_3 | -.3043887  .2292312 -.8357534 -.6309187 -.5822901 -.3280723 -.0013848  .1080513  .6987631
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_1_3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psi_1_3 | -.1769707  .2633489 -.8565179 -.5945143 -.5128442 -.1827095  .1948856  .2783849  .5853159
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_1_3, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psp_1_3 |  .2003069  .2522217 -.5321789  -.206661 -.1186893  .1884711  .5361704  .6387529  .9388545
--------------------------------------------------------------------------------------------------------

. 
. 
. * Knowledge = 1 - Knowledge = 2
. 
. gen tr_vgd_con_1_2 = tr_vgd_con1 - tr_vgd_con2

. gen tr_pty_con_1_2 = tr_pty_con1 - tr_pty_con2

. gen tr_psi_con_1_2 = tr_psi_con1 - tr_psi_con2

. gen tr_psp_con_1_2 = tr_psp_con1 - tr_psp_con2

. 
. tabstat tr_vgd_con_1_2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_vgd_co~_2 | -.1096209  .1327744 -.5237877 -.3237984 -.2814384 -.1114799  .0641177  .1162001  .3643333
--------------------------------------------------------------------------------------------------------

. tabstat tr_pty_con_1_2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_pty_co~_2 | -.1499806  .1446473  -.569571 -.3742501 -.3323548 -.1569294  .0433703  .1051914   .316687
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_con_1_2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psi_co~_2 | -.1566971  .1301941  -.524204 -.3639355 -.3198385 -.1633412  .0179825  .0685824  .3178172
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_con_1_2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
tr_psp_co~_2 | -.2326437  .1240968  -.584813 -.4188113 -.3820933 -.2409103 -.0629098 -.0178595   .142696
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_con_1_2 = fd_con1 - fd_con2

. gen dif_vgd_1_2 = fd_vgd1 - fd_vgd2

. gen dif_pty_1_2 = fd_pty1 - fd_pty2

. gen dif_psi_1_2 = fd_psi1 - fd_psi2

. gen dif_psp_1_2 = fd_psp1 - fd_psp2

. 
. tabstat dif_con_1_2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_con_1_2 |  -.312183    .16156 -.7259393 -.5552319 -.5130835  -.321074  -.105236 -.0368646  .4118243
--------------------------------------------------------------------------------------------------------

. tabstat dif_vgd_1_2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_vgd_1_2 | -.0312282  .1241105 -.4566194 -.2343521 -.1922452 -.0242205  .1184192  .1671134  .3874078
--------------------------------------------------------------------------------------------------------

. tabstat dif_pty_1_2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_pty_1_2 | -.1866244  .1391023   -.60185 -.3971317 -.3601036 -.1930906 -.0045718   .052429   .390049
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_1_2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psi_1_2 | -.1062649  .1437895 -.5432811 -.3515216 -.2936709 -.1007772  .0847086  .1290106  .2895929
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_1_2, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psp_1_2 |  .1072057  .1401257 -.2960844 -.1257585 -.0687068  .1012441  .2912748  .3534429  .5522375
--------------------------------------------------------------------------------------------------------

. 
. 
. drop b1-b20

. drop fd_con1-dif_psp_1_2

. 
. log close
      name:  <unnamed>
       log:  ...\1805 Roadmaps\Table A9.log
  log type:  text
 closed on:   9 May 2018, 15:30:39
--------------------------------------------------------------------------------------------------------------------------
